Qwen3 Coder Next is $0.33 cheaper per 1M input tokens (74.7% lower; 3.95x difference).
API cost decision in 10 seconds
DeepSeek V4 Pro vs Qwen3 Coder Next
Pick Qwen3 Coder Next for lower cost; pick DeepSeek V4 Pro only if the larger context window matters more.
Budget verdict
Pick Qwen3 Coder Next for lower cost; pick DeepSeek V4 Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 Coder Next is estimated at $0.51 vs $0.87 for DeepSeek V4 Pro, saving $0.36 (41.4% lower).
DeepSeek V4 Pro has more context, but Qwen3 Coder Next saves $0.36 on the standard workload. At 10x that traffic, the same price gap is about $3.6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 Coder Next stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4 Pro | Qwen3 Coder Next |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 Coder Next | $2.61 | $0.95 |
| Balanced workload | 1M input + 1M output | Qwen3 Coder Next | $1.3 | $0.91 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 Coder Next | $4.78 | $4.11 |
Qwen3 Coder Next is $0.07 cheaper per 1M output tokens (8% lower; 1.09x difference).
DeepSeek V4 Pro has 786.43K more context (4x larger).
Qwen3 Coder Next is $0.36 cheaper on the standard workload (41.4% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Qwen3 Coder Next has the lower input price; Qwen3 Coder Next has the lower output price; DeepSeek V4 Pro offers the larger context window. For the 1M input plus 500K output sample, Qwen3 Coder Next is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.87 for DeepSeek V4 Pro and $0.51 for Qwen3 Coder Next.
Choose DeepSeek V4 Pro when you care most about larger context window.
Choose Qwen3 Coder Next when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3 Coder Next is estimated at $0.51 vs $0.87 for DeepSeek V4 Pro, saving $0.36 (41.4% lower).
- Qwen3 Coder Next is $0.36 cheaper on the standard workload (41.4% lower).
- Qwen3 Coder Next is $0.33 cheaper per 1M input tokens (74.7% lower; 3.95x difference).
- Qwen3 Coder Next is $0.07 cheaper per 1M output tokens (8% lower; 1.09x difference).
- DeepSeek V4 Pro has 786.43K more context (4x larger).
| Feature | DeepSeek V4 Pro (DeepSeek) | Qwen3 Coder Next (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.435 | $0.11 |
| Completion Price per 1M tokens | $0.87 | $0.8 |
| Sample Workload Cost 1M input + 500K output | $0.87 | $0.51 |
| Context Window | 1.05M | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 Coder Next | On the standard 1M input plus 500K output workload, Qwen3 Coder Next is estimated at $0.51 vs $0.87 for DeepSeek V4 Pro, saving $0.36 (41.4% lower). |
| High-volume input processing | Qwen3 Coder Next | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 Coder Next | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace DeepSeek V4 Pro when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash can replace DeepSeek V4 Pro when lower sample workload cost matters most: $0.2.
- R1 Distill Qwen 32B can replace DeepSeek V4 Pro when lower sample workload cost matters most: $0.43.
- DeepSeek V3.2 can replace DeepSeek V4 Pro when lower sample workload cost matters most: $0.44.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
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Open provider hubsDeepSeek catalog
Review all tracked DeepSeek models before deciding whether this matchup is the right shortlist.
Open DeepSeek modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsDeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...